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topics such as statistics, high performance programming, machine learning and using data to constrain cosmological models. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs
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environment spanning computational chemistry, cell biology, physics, and materials science. The work will leverage GPU computing on high-performance supercomputers such as Saga and LUMI to accelerate drug
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optimization for the compute continuum, across cyber-physical systems (CPS), distributed artificial intelligence (AI), and high-performance computing (HPC), from the data center to the edge devices
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Glide, AutoDOCK) Experience with molecular dynamics simulation packages (AMBER, NAMD, GROMACS) Familiarity with high-performance computing or GPU-accelerated simulations Interest in G protein-coupled
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31st March 2026 Languages English English English The Department of Computer Science has a vacancy for a Postdoctoral Fellow in Emerging GPAI Capabilities and Risks Apply for this job See
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Research Fellow is enrolled in USN’s PhD program in Nautical Operations within three months of commencing the position. About the PhD-project The PhD project will focus on research theme of autonomous
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computing on high-performance supercomputers such as Saga and LUMI to accelerate drug candidate identification. The position may include secondments to industry partners for biophysical analyses (X-ray
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qualifications: Experience with high-performance cluster environments. Experience with organism-level experiments such as common garden experiments or similar. Familiarity and interest in 3D-genomics. Language
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-Performance-computing systems is a requirement. Experience with programming and scripting languages such as Fortran, C++, and Bash is an advantage. Experience in field instrumentation or other demonstration
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characterization, and electrochemical performance evaluation of Zn–I₂ batteries. The main duties of the Postdoctoral Fellow will include Carrying out high-quality and independent research within the AMAZIEN